Ideas that move data teams forward

min read

How to Manage Snowflake Cortex Code Cost Without Slowing Engineers Down

Seemore Team
Guy Biecher
Apr 21, 2026
Data engineers rolling out Cortex Code require a single cost view that separates warehouse compute from AI token credits. Snowflake now gives teams dedicated usage history for Cortex Code CLI, Cortex Code in Snowsight, and AI SQL usage, so you can track who used what, w...
A 3D vector illustration featuring the seemore >data winking pink piggy bank mascot. The pig, wearing a headset and holding a gold coin, is shown reconfiguring a large crystalline snowflake to represent data optimization. The snowflake transitions from a fragmented, unoptimized state in Salmon Pink (#F87E7E) to a sleek, glowing, and efficient geometric state in Teal (#88F4DB).
min read

Snowflake Adaptive Warehouses Change the Interface. They Do Not Remove the Engineering Problem.

Yaniv Leven
Apr 20, 2026
For years, Snowflake warehouse tuning lived inside a familiar triangle: size, concurrency, and cost. If performance was bad, teams sized up. If the bill was too high, teams sized down. If queues appeared, they added clusters or changed the scaling policy. It was not ele...
the standalone hero blog thumbnail, presented as a single file on its own canvas. It features a browser-like frame with rounded corners (radius 18), the three window dots at the top left, and a clean background (light off-white #F7FBFC) with a thin navy blue (#001049) outline. At the center is a large, winking, smiling pink piggy bank. On the left side, inside the frame, there is a bar chart visualization of inefficient Snowflake warehouse usage, showing high idle minutes flagged with red alert flags and waste-category colors. On the right side, inside the frame, there is a line graph showing a clear downward trend in estimated cost savings with success-category colors. Prominent text in navy blue (#001049) Poppins font integrated inside the screen frame reads:
7 min read

Snowflake Cost Optimization: Benchmark Warehouse Efficiency and Unlock Savings

Wesley Allan
Apr 15, 2026
Snowflake Cost Optimization starts with understanding how warehouse behavior affects spend over time. Idle minutes, oversized compute, and weak cluster efficiency often look harmless day to day, but they add up fast. The fastest way to get control is to benchmark effici...
Vertical Scaling Snowflake illustration showing AI-driven warehouse optimization, rising costs, and performance monitoring on cloud data infrastructure
8 min read

Vertical Scaling Snowflake: Predicting Query Behavior and Cost

Wesley Allan
Apr 14, 2026
TL;DR If your team assumes that a bigger Snowflake warehouse always costs more and simply runs queries faster, you are using the wrong model. Snowflake query behavior changes based on memory pressure, operator type, spillage, and workload overlap. A memory-heavy query r...
Isometric 3D illustration of Snowflake data types visualized as vibrant, interconnected cubes on a high-tech, futuristic platform. Each cube represents a specific data category—including VARCHAR, NUMBER, VARIANT, DATE, BOOLEAN, and GEOGRAPHY—with data flowing through glowing, translucent pipes that link them together. The scene uses the brand’s signature color palette of Dark Blue, Coral, Teal, and Yellow. In the background, small pink
9 min read

Snowflake Data Types: Practical Cheat Sheet, Aliases, and VARIANT Examples

Wesley Allan
Apr 13, 2026
A lot of guides on Snowflake data types stay at the dictionary level. Engineers need more than that. You need to know which type to pick, which aliases Snowflake treats as the same thing, how to inspect a live table, and what happens when semi-structured columns grow in...

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    13 min read

    How to Manage Snowflake Cortex Code Cost Without Slowing Engineers Down

    Seemore Team
    Guy Biecher
    Apr 21, 2026
    A 3D vector illustration featuring the seemore >data winking pink piggy bank mascot. The pig, wearing a headset and holding a gold coin, is shown reconfiguring a large crystalline snowflake to represent data optimization. The snowflake transitions from a fragmented, unoptimized state in Salmon Pink (#F87E7E) to a sleek, glowing, and efficient geometric state in Teal (#88F4DB).
    10 min read

    Snowflake Adaptive Warehouses Change the Interface. They Do Not Remove the Engineering Problem.

    Yaniv Leven
    Apr 20, 2026
    AI-powered transformation of data engineering - from complex technical workflows to streamlined natural language development, perfectly representing Snowflake Cortex Code's value proposition.
    6 min read

    Snowflake Cortex Code: Complete Guide to Features, Pricing & Implementation (2026)

    Yaniv Leven
    Feb 05, 2026
    Illustration showing a global cloud data ecosystem with DoiT and SELECT connected at the top, and multiple cost intelligence layers below—representing how different players share the data cost optimization market.
    4 min read

    What DoiT’s Acquisition of SELECT Signals About the Data Cost Intelligence Market?

    Seemore Team
    Ariel Utnik
    Jan 07, 2026
    Snowpipe pricing announcement in Snowflake summit 2025
    4 min read

    How Snowflake’s New Snowpipe Pricing Cut Costs by 80–95% (With Queries to Measure It Yourself)

    Seemore Team
    Guy Biecher
    Dec 10, 2025
    A major AWS outage on October 20, 2025, disrupted a wide range of popular websites, apps, and critical services globally.
    2 min read

    AWS Outage: When “Not My Cloud” Still Becomes Your Outage

    Seemore Team
    Ariel Utnik
    Oct 28, 2025
    Snowflake × Palantir: A Defining Moment for Enterprise AI
    2 min read

    Snowflake × Palantir: A Defining Moment for Enterprise AI

    Seemore Team
    Ariel Utnik
    Oct 26, 2025

    Seemore resources

    19 min read

    Intelligent Snowflake Auto Clustering: How to Optimize Auto-Clustering at Scale with AI

    Seemore Team
    Guy Biecher

    Jan 12, 2026

    TL;DR Snowflake auto-clustering can dramatically improve query performance — but at scale, it often becomes a guessing game that quietly burns credits. Manual clustering analysis doesn’t keep up with changing query patterns, table growth, and data churn. This post expl...

    Auto- clustering in scale with AI recommendation

    14 min read

    How to Automate Snowflake Warehouse Optimization (2026 Guide)

    Snir Siboni

    Dec 21, 2025

    TL;DR Snowflake warehouse optimization in 2026 requires right-sizing compute (vertical scaling), controlling concurrency with multi-cluster policies (horizontal scaling), choosing Gen1 vs Gen2 based on workload type, and eliminating idle time with aggressive suspensi...

    An infographic titled 'Snowflake Warehouse Optimization in 2026' highlighting four key strategies: Right Sizing, Multi-Cluster Strategies, Gen1 vs Gen2 Warehouses, and Auto-Suspend configuration, all part of an Automated Platform.

    7 min read

    Comprehensive Guide to Mastering the Snowflake Query Profile

    Matan Avneri

    May 23, 2024

    Comprehensive Guide to Mastering the Snowflake Query Profile

    5 min read

    Smart Pulse – Hourly Autonomous Snowflake Warehouse Optimization for Smarter Scaling

    Yaniv Leven

    Aug 13, 2025

    Introducing Smart Pulse In the constant balancing act between performance and cost in cloud data warehouses, timing is everything. Optimize too slowly, and you waste budget on oversized resources. React too late, and users face query slowdowns or missed SLAs. That’s...

    6 min read

    What is Smart Snowflake Auto Suspend: Auto Shutdown

    Yaniv Leven

    Nov 03, 2025

    Managing Snowflake warehouses efficiently has always been a delicate balance. You need compute resources available when your data teams need them, but leaving warehouses running when idle can drain budgets fast. Traditional Snowflake Auto Suspend features help, but they...

    Comparison infographic showing traditional static auto-suspend versus intelligent AI-powered warehouse auto-shutdown for Snowflake optimization

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